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of cancer by analyzing and integrating multi-omics and clinical data. Key Responsibilities Analyze and interpret multi-omics datasets, including genomic, transcriptomic, and clinical data from over 7,000
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 6 hours ago
(imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D diffusion-based single-molecule sensors (the candidate with theoretical knowledge and
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of care Wide range of health, prevention and sports offers Contact & Application For further information please contact Prof. Jeroen Krijgsveld via e-mail. Please apply online by sending a cv, cover letter
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therefore especially encourages them to apply. For further information: Please contact Dr. Slavica Janevska | https://www.leibniz-hki.de/en/epi-staff-details.html?member=1105 | +49 3641 532-1188 | career
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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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research strategy, including fundamental and applied approaches You will create, process, analyze, and interpret the research data, prepare reports, and scientific publications You will take part and present
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
workforce and therefore encourages applications from such qualified individuals. Your application Please apply via our application portal , submitting a cover letter, a CV, and contact information for up
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submit your application including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) via e-mail and as a single PDF file to
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evaluation methods for vision models Design metrics to compare neural and behavioral data with computational predictions Collaborate with CRC groups on open, reproducible standards for model evaluation Mentor